Fernando Dangond

94 papers and 3.1k indexed citations i.

About

Fernando Dangond is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Fernando Dangond has authored 94 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Pathology and Forensic Medicine, 25 papers in Oncology and 22 papers in Genetics. Recurrent topics in Fernando Dangond’s work include Multiple Sclerosis Research Studies (51 papers), Chronic Lymphocytic Leukemia Research (18 papers) and Polyomavirus and related diseases (14 papers). Fernando Dangond is often cited by papers focused on Multiple Sclerosis Research Studies (51 papers), Chronic Lymphocytic Leukemia Research (18 papers) and Polyomavirus and related diseases (14 papers). Fernando Dangond collaborates with scholars based in United States, Germany and Italy. Fernando Dangond's co-authors include David A. Hafler, Steven G. Gray, Steven R. Gullans, Gavin Giovannoni, Anja Windhagen, Sandra Camelo, Patrick Vermersch, Antonio Iglesias, Jia Newcombe and Carrie Strand and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Fernando Dangond i

Fields of papers citing papers by Fernando Dangond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Dangond. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernando Dangond. The network helps show where Fernando Dangond may publish in the future.

Countries citing papers authored by Fernando Dangond

Since Specialization
Citations

This map shows the geographic impact of Fernando Dangond's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fernando Dangond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Dangond more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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